K. J. Lafferty
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Genetics top 2%
- Diabetes and associated disorders
Papers in
- Co-authors
- J. A. Woolnough (4 shared papers)Linda Andrus (3 shared papers)Kathryn Haskins (3 shared papers)Ronald G. Gill (8 shared papers)Brenda Bradley (2 shared papers)Stephen J. Prowse (5 shared papers)Mary Portas (1 shared paper)Barbara Bergman (1 shared paper)
- Journals
- Diabetes (8 papers)The Journal of Immunology (6 papers)Virology (5 papers)Scandinavian Journal of Immunology (4 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
K. J. Lafferty
66 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 110
- Immunology 736
- Genetics 718
- Endocrinology, Diabetes and Metabolism 368
- Transplantation 53
- Surgery 642
Countries citing papers authored by K. J. Lafferty
This map shows the geographic impact of K. J. Lafferty's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by K. J. Lafferty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. J. Lafferty more than expected).
Fields of papers citing papers by K. J. Lafferty
This network shows the impact of papers produced by K. J. Lafferty. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by K. J. Lafferty. The network helps show where K. J. Lafferty may publish in the future.
Co-authors
The 25 scholars most cited alongside K. J. Lafferty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 209 | |
| 2 | 1977 | 177 | |
| 3 | 1991 | 122 | |
| 4 | 1982 | 108 | |
| 5 | 1986 | 92 | |
| 6 | 1985 | 88 | |
| 7 | 1967 | 75 | |
| 8 | 1963 | 70 | |
| 9 | 1963 | 67 | |
| 10 | 1958 | 62 | |
| 11 | 1977 | 58 | |
| 12 | 1988 | 57 | |
| 13 | 1963 | 56 | |
| 14 | 1984 | 51 | |
| 15 | 1963 | 39 | |
| 16 | 1987 | 39 | |
| 17 | 1987 | 38 | |
| 18 | 1986 | 38 | |
| 19 | 1977 | 35 | |
| 20 | 1981 | 32 |
About K. J. Lafferty
K. J. Lafferty is a scholar working on Surgery, Genetics, Immunology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 69 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (17 papers), Diabetes and associated disorders (12 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (7 papers), Respiratory viral infections research (5 papers), Immune Response and Inflammation (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Immunology (736 citations), Genetics (718 citations), Endocrinology, Diabetes and Metabolism (368 citations), Transplantation (53 citations) and Surgery (642 citations). K. J. Lafferty has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include J. A. Woolnough, Linda Andrus, Kathryn Haskins, Ronald G. Gill, Brenda Bradley, Stephen J. Prowse, Mary Portas, Barbara Bergman, Oscar Pontesilli and L T Cotton. Their work appears in journals such as Diabetes, The Journal of Immunology, Virology, Scandinavian Journal of Immunology and Proceedings of the National Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.